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AmritaBh · Apr 3, 2024 · 87f2035 · 87f2035
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diff --git a/_pages/about.md b/_pages/about.md
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 # 📢 News
 
+\[Mar 2024\] Our demo paper "ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement" has been accepted at SIGIR 2024! [Paper Link](https://arxiv.org/abs/2402.06221)
+
 \[Jan 2024\] I have accepted an offer to join **NVIDIA** as an Applied Research Intern for Summer 2024, working on LLM Safety!
 
 \[Jan 2024\] Invited to serve as a Program Committee member at IJCAI 2024 (Survey Track).
@@ -23,7 +25,7 @@ When I'm not working, I enjoy traveling, hiking, kayaking, camping and chilling
 
 \[Dec 2023\] Our paper "Towards LLM-guided Causal Explainability for Black-box Text Classifiers" has been accepted at the AAAI 2024 Responsible Language Models worskhop, Vancouver, Canada! [Paper Link](https://arxiv.org/abs/2309.13340)
 
-\[Nov 2023\] Our paper "ConDA: Contrastive Domain Adaptation for AI-generated Text Detection" won the 🏆 Oustanding Paper Award 🏆 at IJCNLP-AACL 2023, held in Bali, Indonesia! [Paper Link](https://arxiv.org/abs/2309.03992)
+\[Nov 2023\] Our paper "ConDA: Contrastive Domain Adaptation for AI-generated Text Detection" won the 🏆 **Oustanding Paper Award** 🏆 at IJCNLP-AACL 2023, held in Bali, Indonesia! [Paper Link](https://arxiv.org/abs/2309.03992)
 
 
 

diff --git a/_pages/teaching&service.md b/_pages/teaching&service.md
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 ---
 layout: archive
 title: "Teaching & Service"
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+## Mentoring
+
+### Current Mentees:
+
+1. Ayushi Nirmal (MS CS) [LinkedIN](https://www.linkedin.com/in/ayushi-nirmal/)
+2. Saurabh Bhausaheb Zinjad (MS CS) [LinkedIN](https://www.linkedin.com/in/saurabhzinjad/)
+3. Baixi Jiao (Undergrad)
+4. Punit Sai Arani (Undergrad - Honors thesis)
+5. Neha Balamurugan (Undergrad - Honors thesis)
+
+### Past mentoring
+
+Mentored 3 women for pursuing a research career in Computer Science via Women in Machine Learning (WiML) (Fall 2022)
+
+## Teaching
+
+### Fall 2023: Project Coordinator and Mentor: Barrett Honors College
+
+I served as the Project Coordinator whereby I designed and developed a project for the Barrett Honors college with the topic **Political Bias and Strategic Influence Operations in Large Language Models**. I also had the opportunity of mentoring 4 undergraduate students working on this interesting project.
+
+### Fall 2023: Project Coordinator & Invited Speaker: CSE 472 - Social Media Mining
+
+I served as the Project Coordinator and an Invited Speaker for the course CSE 472: Social Media Mining, offered by my Ph.D advisor Dr. Huan Liu, in Fall 2023. 
+As project coordinnator: I was in charge of designing a course project, mentoring and assisting students, and grading the final projects. Project topic I designed: **Large Language Models as Components in a Machine Learning Pipeline**. 
+
+Invited lecture on:  A Primer on Large Language Models 
+
+
+### Fall 2021: Project Coordinator: CSE 472 - Social Media Mining
+
+I served as the Project Coordinator for the course CSE 472: Social Media Mining, offered by my Ph.D advisor Dr. Huan Liu, in Fall 2021. I was in charge of designing a course project, mentoring and assisting students, and grading the final projects. Project topic I designed: **Machine Generated Text Detection**. 
+
+
+
+### Fall 2019 and Spring 2020
+
+I was appointed as a CIS Research Aide for Fall 2019 and Spring 2020 under the supervision of Prof. Daniel Mazzola at the W.P. Carey School of Business, ASU. I was responsible for serving as an assistant for the courses **CIS 430: Mobile Platforms for Business**, **CIS 505: Introduction to Enterprise Analytics** and **CIS 506: Information Management**. As part of my duties, I assisted students with assignments, projects and also graded assignments and quizzes. 
+
+### Fall 2019
+
+I was appointed as the TA for the undergraduate course Principles of Programming (Java) offered in Fall 2019. My responsobilities included teaching the recitals (labs), grading, and holding office hours for help with programming assignments and course content. 
+
+## Reviewing & Conference Duties
+
+
+1. Program Committee Member for **AAAI 2023, AAAI 2024, IJCAI 2024 (Survey), SBP-BRiMS 2023**
+
+
+2. Reviewer for SNAM: Social Network Analysis and Mining, JNCA: Journal of Network and Computer Applications, IPM: Information Processing and Management, CogSys: Cognitive Systems Research, AAAI 2023, SBP-BRiMS 2023, AAAI 2024
+
+3. Sub-reviewer for CIKM 2020, ASONAM 2020
+
+4. Student Volunteer at **15th ACM International WSDM Conference - WSDM 2022**
+
+5. Panel Facilitator at **ASU-Mayo Workshop on Generative AI and Large Language Models: Opportunities and Challenges for Healthcare and Medicine 2023**: Facilitated and moderated two panels: (1) Enhancing Clinical Decision Support with LLMs, (2) Validation and Verification of AI-generated Medical Research
+
 
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